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An analysis of political leanings in six major AI models, showing that 4 out of 6 lean left of center on the economic axis, with some models being unaware of their own bias.
This paper presents a large-scale analysis of four harmful language detection datasets, examining how annotator characteristics and linguistic features interact to influence annotation variation. It highlights intersectional effects and warns against generalizing findings across different datasets.